Results 221 to 230 of about 4,938,948 (296)

A Perspective on the Applications of Triphasic Gas Storage in Electrochemical Systems

open access: yesAdvanced Science, EarlyView.
Gas storage in microporous materials positioned locally at an electrode or electrocatalyst surface enhances electrochemical processes. Abstract Microporous materials store gases under dry conditions (e.g., hydrogen or oxygen via physisorption), but in some cases microporous materials also show triphasic (e.g., in a solid|gas|liquid system) gas storage ...
Zhongkai Li   +9 more
wiley   +1 more source

Gonadotropin‐Inhibitory Hormone (GnIH) and Its Receptor GPR147 Mediates Acute Stress‐Induced Activation of the Locus Coeruleus‐SAM Axis

open access: yesAdvanced Science, EarlyView.
ABSTRACT Gonadotropin‐inhibitory hormone (GnIH, also known as RFamide‐related peptide‐3, RFRP‐3) is a hypothalamic neuropeptide that regulates vertebrate reproduction via its receptor GPR147. Although GnIH is known to mediate stress‐induced reproductive suppression, its role in broader stress responses remains unclear.
Jiani Zhang   +18 more
wiley   +1 more source

Wavy‐Interlocked Stretchable Triboelectric Nanogenerators Enhanced by Liquid Metal Microflowers for Self‐Powered Wearable Motion Monitoring

open access: yesAdvanced Science, EarlyView.
Schematic showing a stretchable triboelectric nanogenerator based on interlocked wavy architectures that uses EGaIn microflower‐embedded PVDF‐TrFE and Nylon‐6 nanofiber membranes. The multi‐petaled, electron‐rich EGaIn microflowers enhance interfacial polarization and capacitance, while the interlocked wavy architecture enlarges the effective contact ...
Qianqian Xu   +12 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

Ellipsometric Characterization of Network Topology Transition in Vitrimers. [PDF]

open access: yesACS Macro Lett
Wang Y   +6 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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